Óvilo C, Trakooljul N, Núñez Y, Hadlich F, Murani E, Ayuso M, García-Contreras C, Vázquez-Gómez M, Rey A I, Garcia F, García-Casco J M, López-Bote C, Isabel B, González-Bulnes A, Wimmers K, Muñoz M
Departamento Mejora Genética Animal, INIA-CSIC, Madrid, Spain.
Research Institute for Farm Animal Biology, FBN, Dummerstorf, Germany.
Sci Rep. 2022 Sep 30;12(1):16361. doi: 10.1038/s41598-022-20817-0.
Iberian pigs and its crosses are produced to obtain high-quality meat products. The objective of this work was to evaluate a wide panel of DNA markers, selected by biological and functional criteria, for association with traits related to muscle growth, fatness, meat quality and metabolism. We used 18 crossbred Iberian pigs with divergent postnatal growth patterns for whole genome sequencing and SNP discovery, with over 13 million variants being detected. We selected 1023 missense SNPs located on annotated genes and showing different allele frequencies between pigs with makerdly different growth patterns. We complemented this panel with 192 candidate SNPs obtained from literature mining and from muscle RNAseq data. The selected markers were genotyped in 480 Iberian × Duroc pigs from a commercial population, in which phenotypes were obtained, and an association study was performed for the 1005 successfully genotyped SNPs showing segregation. The results confirmed the effects of several known SNPs in candidate genes (such as LEPR, ACACA, FTO, LIPE or SCD on fatness, growth and fatty acid composition) and also disclosed interesting effects of new SNPs in less known genes such as LRIG3, DENND1B, SOWAHB, EPHX1 or NFE2L2 affecting body weight, average daily gain and adiposity at different ages, or KRT10, NLE1, KCNH2 or AHNAK affecting fatness and FA composition. The results provide a valuable basis for future implementation of marker-assisted selection strategies in swine and contribute to a better understanding of the genetic architecture of relevant traits.
伊比利亚猪及其杂交品种用于生产高品质肉类产品。本研究的目的是评估一组广泛的DNA标记,这些标记根据生物学和功能标准进行选择,以研究其与肌肉生长、脂肪含量、肉质和代谢相关性状的关联。我们使用了18头具有不同出生后生长模式的杂交伊比利亚猪进行全基因组测序和SNP发现,共检测到超过1300万个变异。我们选择了1023个位于注释基因上的错义SNP,这些SNP在生长模式差异明显的猪之间显示出不同的等位基因频率。我们通过文献挖掘和肌肉RNAseq数据获得的192个候选SNP对该组进行了补充。在一个商业群体的480头伊比利亚×杜洛克猪中对所选标记进行基因分型,在这些猪中获得了表型,并对1005个成功基因分型且显示分离的SNP进行了关联研究。结果证实了候选基因中几个已知SNP的效应(如LEPR、ACACA、FTO、LIPE或SCD对脂肪含量、生长和脂肪酸组成的影响),还揭示了一些鲜为人知的基因中的新SNP的有趣效应,如LRIG3、DENND1B、SOWAHB、EPHX1或NFE2L2影响不同年龄的体重、平均日增重和肥胖,或KRT10、NLE1、KCNH2或AHNAK影响脂肪含量和脂肪酸组成。这些结果为未来在猪中实施标记辅助选择策略提供了有价值的基础,并有助于更好地理解相关性状的遗传结构。